Adaptive Biotechnologies (ADPT) Total Liabilities (2018 - 2026)
Adaptive Biotechnologies (ADPT) posted Total Liabilities of $490.02 million for Q2 2026, up 54.5% from $317.1 million a year earlier and up 73.9% from the prior quarter.
Adaptive Biotechnologies (ADPT) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Adaptive Biotechnologies' Total Liabilities came in at $287.74 million, down 14.6% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- In prior years, Adaptive Biotechnologies' Total Liabilities was $336.89 million in FY2024 (-4.5%), $352.86 million in FY2023 (-10.1%), $392.52 million in FY2022 (+23.0%) and $319.24 million in FY2021 (-14.4%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q2 2019.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 1.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 54.5%; the weakest was Q2 2022, with a decline of 15.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $281.7 million (Q1 2026), $287.74 million (Q4 2025) and $286.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - | 69.89 Bn |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn | 836.00 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn | 9.12 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn | 9.93 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - | 24.12 Bn |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn | 2.14 Bn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn | 20.29 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn | 3.94 Bn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn | 18.47 Bn |
| 10 | Adaptive Biotechnologies | 3.82 Bn | 2.82 Bn | 51.39 Mn | 490.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 490.02 Mn |
| Mar 31, 2026 | 281.70 Mn |
| Dec 31, 2025 | 287.74 Mn |
| Sep 30, 2025 | 286.18 Mn |
| Jun 30, 2025 | 317.10 Mn |
| Mar 31, 2025 | 320.63 Mn |
| Dec 31, 2024 | 336.89 Mn |
| Sep 30, 2024 | 334.93 Mn |
| Jun 30, 2024 | 343.44 Mn |
| Mar 31, 2024 | 345.56 Mn |
| Dec 31, 2023 | 352.86 Mn |
| Sep 30, 2023 | 356.05 Mn |
| Jun 30, 2023 | 368.57 Mn |
| Mar 31, 2023 | 367.51 Mn |
| Dec 31, 2022 | 392.52 Mn |
| Sep 30, 2022 | 396.39 Mn |
| Jun 30, 2022 | 288.32 Mn |
| Mar 31, 2022 | 304.94 Mn |
| Dec 31, 2021 | 319.24 Mn |
| Sep 30, 2021 | 341.06 Mn |
Adaptive Biotechnologies Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=ADPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ADPT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=ADPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();